Now showing 1 - 10 of 11
  • 2019Journal Article
    [["dc.bibliographiccitation.firstpage","1244"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Brain Stimulation"],["dc.bibliographiccitation.lastpage","1252"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Halawa, I."],["dc.contributor.author","Shirota, Y."],["dc.contributor.author","Neef, A."],["dc.contributor.author","Sommer, M."],["dc.contributor.author","Paulus, W."],["dc.date.accessioned","2020-12-10T14:22:48Z"],["dc.date.available","2020-12-10T14:22:48Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.brs.2019.04.012"],["dc.identifier.issn","1935-861X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71740"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Neuronal tuning: Selective targeting of neuronal populations via manipulation of pulse width and directionality"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2001Journal Article
    [["dc.bibliographiccitation.firstpage","158"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Pharmacopsychiatry"],["dc.bibliographiccitation.lastpage","159"],["dc.bibliographiccitation.volume","34"],["dc.contributor.author","Sommer, M."],["dc.contributor.author","Dieterich, A."],["dc.contributor.author","Krause, C."],["dc.contributor.author","Rüther, E."],["dc.contributor.author","Wiltfang, J."],["dc.date.accessioned","2017-09-07T11:44:41Z"],["dc.date.available","2017-09-07T11:44:41Z"],["dc.date.issued","2001"],["dc.description.abstract","Mirtazapine is an antidepressive agent with proven efficacy [1] [4]. Frequent side effects include sleepiness, sedation, agitation, confusion, increased appetite, weight gain, and edema. Less frequent side-effects are orthostatic hypotension, mania, epileptic seizures, tremor, muscle-jerking, granulocytopenia, increase of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) and exanthema [2] [5]. To our knowledge, pancreatitis as a side-effect of mirtazapine has not been described before. In this communication, we will report on a case of subclinical pancreatitis in a patient with a past history of alcohol abuse. The pancreatitis was temporarily related to the combination of mirtazapine treatment and oral food, it ceased 10 days after stopping mirtazapine. There was no alcohol consumption during the entire observation period.A 54-year-old unemployed hairdresser was admitted to the Department of Psychiatry at the University of Göttingen for a severe episode of a recurrent major depressive disorder (DSM IV 296.33). He had a history of unipolar depression, with previous hospitalizations for depressive episodes in March and October of 1999. He also had a history of alcohol dependence (DSM IV 303.90) dating from adolescence with alcohol-related hallucinations (DSM IV 291.3) which were found to be responsive to pimozide in 1998. Alcohol consumption was stopped after detoxification in August, 1998. On the present admission, the treatment consisted of citalopram at 60 mg, pimozide at 1 mg, and aspirin at 100 mg. Because of the severity of the depressive episode, we decided to add mirtazapine, which had never been tried on this patient. We chose a rapid dosage increase of 15 mg per day up to 60 mg given once a day at nighttime. On day 4, an increase of lipase and pancreas-specific amylase was found after routine blood-sampling, and a further increase of these two enzymes was observed on day 5 (Fig. [1]). We stopped oral food supply that day, and pancreas enzyme serum levels returned to normal on day 7. After introduction of restricted oral food on day 8, however, enzyme serum levels increased again. Although previous reports of elevation of pancreas enzymes related to mirtazapine had not been reported either in the literature or by Organon Pharma, Inc., Munich, we decided to stop mirtazapine on day 14 despite a marked clinical improvement in the depressive symptoms. Serum levels returned to normal levels at day 24, and a reintroduction of unrestricted oral feeding on day 27 caused only a minor increase of serum levels lasting for 3 days. Subsequent samples revealed no abnormalities in the pancreas enzyme serum levels. Samples of AST, ALT, total bilirubin, alkaline phosphatase, gamma glutamyltransferase, C-reactive protein levels and the number of leukocytes taken on day 1 and daily between day 9 and day 34 were within normal limits. The serum ethanol was below a detectable level (< 0.02 ‰) at either sample (day 1, 9, and daily from day 13 to 34). Clinically, the patient never had any subjective complaints of abdominal pain or bowel dysfunction, and only mild pain on epigastral palpation. An abdominal ultrasound on day 6 revealed no sign of pancreatitis. Since the patient's depressive symptoms were largely improved, we decided not to administer any other antidepressive drugs. The patient was discharged on day 34, and will be seen regularly on an outpatient basis.In this patient, a subclinical elevation of pancreas enzyme serum levels was temporarily associated with mirtazapine treatment and oral food which ceased after mirtazapine was stopped. There was no clinical or biochemical evidence for current alcohol consumption. Mirtazapine is known to interact with enzymes of hepatic metabolization [2], but to our knowledge, there have been no cases of mirtazapine-related pancreatitis published as yet. A contact with the AMSP drug safety program (see Grohmann et al. [3]) revealed one previously unreported case of mirtazapine-related increase of serum lipase in a 48-year-old women with depression after a rapid dosage increase to 60 mg per day within one week. In this patient, the gamma glutamyltransferase was slightly increased; pancreas-specific amylase was not assessed. That patient also had subclinical pancreatitis, and there were no known risk factors such as alcohol abuse history. Lipase and gamma glutamyltransferase returned no normal values after mirtazapine cessation. The mechanism underlying mirtazapine-related pancreatitis remains obscure, and may not necessarily be mirtazapine-specific, since the contact to the AMSP program also revealed 2 cases of paroxetine-related pancreatitis; there are also reports of pancreatitis as a result of tricyclic antidepressant overdoses [6] [7].We hypothesize that our patient's previous alcohol abuse had caused lasting subclinical damage to his pancreas and, therefore, lowered the threshold for medication-related pancreatitis. On the basis of our observation and our literature research, we recommend pancreas enzyme serum level monitoring and slow dosage increase when introducing mirtazapine in patients with possible or known pancreas dysfunction.Fig. 1 Upper part: pancreas-specific amylase (left ordinate) and lipase (right ordinate), lower part: daily mirtazapine dose (left ordinate) and food (right ordinate). Food quality is rated as: 0 = no oral food; 1 = tea and bread; 2 = fat-free, very light food; 3 = low-fat, light food; and 4 = unrestricted oral food. Note the increase in pancreas enzyme serum levels associated with mirtazapine and oral food exposure."],["dc.identifier.doi","10.1055/s-2001-15877"],["dc.identifier.gro","3151729"],["dc.identifier.pmid","11518479"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8549"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0176-3679"],["dc.title","Subclinical Pancreatitis Related to Mirtazapine - A Case Report"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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  • 2010Journal Article
    [["dc.bibliographiccitation.firstpage","581"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Journal of Plant Nutrition and Soil Science"],["dc.bibliographiccitation.lastpage","597"],["dc.bibliographiccitation.volume","170"],["dc.contributor.author","Sauer, Daniela"],["dc.contributor.author","Sponagel, Herbert"],["dc.contributor.author","Sommer, Michael"],["dc.contributor.author","Giani, Luise"],["dc.contributor.author","Jahn, Reinhold"],["dc.contributor.author","Stahr, Karl"],["dc.date.accessioned","2017-09-07T11:48:27Z"],["dc.date.available","2017-09-07T11:48:27Z"],["dc.date.issued","2010"],["dc.identifier.doi","10.1002/jpln.200700135"],["dc.identifier.gro","3149461"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6138"],["dc.language.iso","en"],["dc.notes.intern","Sauer Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1436-8730"],["dc.title","Podzol: Soil of the Year 2007. A review on its genesis, occurrence, and functions"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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  • 2017Journal Article
    [["dc.bibliographiccitation.firstpage","952"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Clinical Neurophysiology"],["dc.bibliographiccitation.lastpage","964"],["dc.bibliographiccitation.volume","128"],["dc.contributor.author","Busan, P."],["dc.contributor.author","Battaglini, P.P."],["dc.contributor.author","Sommer, M."],["dc.date.accessioned","2020-12-10T14:23:07Z"],["dc.date.available","2020-12-10T14:23:07Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1016/j.clinph.2017.03.039"],["dc.identifier.issn","1388-2457"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71844"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Transcranial magnetic stimulation in developmental stuttering: Relations with previous neurophysiological research and future perspectives"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2007Journal Article
    [["dc.bibliographiccitation.firstpage","1446"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","European Journal of Soil Science"],["dc.bibliographiccitation.lastpage","1459"],["dc.bibliographiccitation.volume","58"],["dc.contributor.author","Saccone, L."],["dc.contributor.author","Conley, D. J."],["dc.contributor.author","Koning, E."],["dc.contributor.author","Sauer, Daniela"],["dc.contributor.author","Sommer, Michael"],["dc.contributor.author","Kaczorek, D."],["dc.contributor.author","Blecker, S. W."],["dc.contributor.author","Kelly, E. F."],["dc.date.accessioned","2017-09-07T11:48:27Z"],["dc.date.available","2017-09-07T11:48:27Z"],["dc.date.issued","2007"],["dc.identifier.doi","10.1111/j.1365-2389.2007.00949.x"],["dc.identifier.gro","3149459"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6136"],["dc.notes.intern","Sauer Crossref Import"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.publisher","Wiley-Blackwell"],["dc.relation.issn","1351-0754"],["dc.title","Assessing the extraction and quantification of amorphous silica in soils of forest and grassland ecosystems"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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  • 2002Journal Article
    [["dc.bibliographiccitation.artnumber","PII S1388-2457(01)00726-X"],["dc.bibliographiccitation.firstpage","265"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Clinical Neurophysiology"],["dc.bibliographiccitation.lastpage","269"],["dc.bibliographiccitation.volume","113"],["dc.contributor.author","Sommer, M"],["dc.contributor.author","Wu, T"],["dc.contributor.author","Tergau, Frithjof"],["dc.contributor.author","Paulus, Walter J."],["dc.date.accessioned","2021-06-01T10:50:21Z"],["dc.date.available","2021-06-01T10:50:21Z"],["dc.date.issued","2002"],["dc.description.abstract","Objectives: Repetitive transcranial magnetic stimulation (rTMS) can modify cortical excitability and is widely used for clinical and research purposes. We sought to determine the intra- and interindividual variability of its effects on motor cortex excitability, and whether repeated paired-pulses yield less variability than repeated single-pulses. Methods: We investigated rTMS over the left motor cortex of 6 healthy subjects and recorded motor evoked potentials (MEPs) from the right abductor digiti minimi muscle, Eighty single suprathreshold stimuli or conditioning-test pairs of stimuli were delivered at 2 Hz frequency. The pairs consisted of a subthreshold pulse followed by a suprathreshold pulse after 2, 5 or 10 ms, In each subject we studied all types of rTMS 5 times on separate days. Single suprathreshold pulses at 0.17 Hz preceded rTMS for baseline determination. Results: The day-to-day variability of MEPs during either type of rTMS was small compared to the subject-to-subject variability. MEPs increased during all types of rTMS except for interstimulus interval (ISI) 2 ms. Paired-pulses yielded less variability than single-pulse rTMS. Conclusions: Motor responses to rTMS show a high interindividual, but a low intraindividual variability. Repeated paired-pulses yield less variability than repeated single-pulses. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved."],["dc.identifier.doi","10.1016/S1388-2457(01)00726-X"],["dc.identifier.isi","000174689500009"],["dc.identifier.pmid","11856631"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/86627"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Sci Ireland Ltd"],["dc.relation.issn","1388-2457"],["dc.title","Intra- and interindividual variability of motor responses to repetitive transcranial magnetic stimulation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
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  • 2021-05-07Journal Article Research Paper
    [["dc.bibliographiccitation.firstpage","3077"],["dc.bibliographiccitation.journal","Land Degradation & Development"],["dc.bibliographiccitation.lastpage","3091"],["dc.bibliographiccitation.volume","32"],["dc.contributor.author","Öttl, Lena Katharina"],["dc.contributor.author","Wilken, Florian"],["dc.contributor.author","Auerswald, Karl"],["dc.contributor.author","Sommer, Michael"],["dc.contributor.author","Wehrhan, Marc"],["dc.contributor.author","Fiener, Peter"],["dc.date.accessioned","2021-12-15T08:16:49Z"],["dc.date.available","2021-12-15T08:16:49Z"],["dc.date.issued","2021-05-07"],["dc.date.updated","2021-12-15T07:33:10Z"],["dc.description.abstract","Tillage erosion causes substantial soil redistribution that can exceed water erosion especially in hummocky landscapes under highly mechanized large field agriculture. Consequently, truncated soil profiles can be found on hill shoulders and top slopes, whereas colluvial material is accumulated at footslopes, in depressions, and along downslope field borders. We tested the hypothesis that soil erosion substantially affects in‐field patterns of the enhanced vegetation index (EVI) of different crop types on landscape scale. The interrelation between the EVI (RAPIDEYE satellite data; 5 m spatial resolution) as a proxy for crop biomass and modeled total soil erosion (tillage and water erosion modeled using SPEROS‐C) was analyzed for the Quillow catchment (size: 196 km2) in Northeast Germany in a wet versus normal year for four crop types (winter wheat, maize, winter rapeseed, winter barley). Our findings clearly indicate that eroded areas had the lowest EVI values, while the highest EVI values were found in depositional areas. The differences in the EVI between erosional and depositional sites are more pronounced in the analyzed normal year. The net effect of total erosion on the EVI compared to areas without pronounced erosion or deposition ranged from −10.2% for maize in the normal year to +3.7% for winter barley in the wet year. Tillage erosion has been identified as an important driver of soil degradation affecting in‐field crop biomass patterns in a hummocky ground moraine landscape. While soil erosion estimates are to be made, more attention should be given toward tillage erosion."],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9598"],["dc.identifier.uri","http://dx.doi.org/10.23689/fidgeo-5252"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/96830"],["dc.language.iso","en"],["dc.title","Tillage erosion as an important driver of in‐field biomass patterns in an intensively used hummocky landscape"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]
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  • 2022Journal Article
    [["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Vadose Zone Journal"],["dc.bibliographiccitation.volume","21"],["dc.contributor.affiliation","Diamantopoulos, Efstathios; 4\r\nDep. of Plant and Environmental Science\r\nUniv. of Copenhagen\r\nCopenhagen Denmark"],["dc.contributor.affiliation","Duan, Xiaohong; 5\r\nHelmholtz Zentrum München‐German Research Center for Environmental Health\r\nNeuherberg Germany"],["dc.contributor.affiliation","Ewert, Frank; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Heinlein, Florian; 5\r\nHelmholtz Zentrum München‐German Research Center for Environmental Health\r\nNeuherberg Germany"],["dc.contributor.affiliation","Herbst, Michael; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Holbak, Maja; 4\r\nDep. of Plant and Environmental Science\r\nUniv. of Copenhagen\r\nCopenhagen Denmark"],["dc.contributor.affiliation","Kamali, Bahareh; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Kersebaum, Kurt‐Christian; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Kuhnert, Matthias; 8\r\nInstitute of Biological and Environmental Science\r\nUniv. of Aberdeen\r\nAberdeen UK"],["dc.contributor.affiliation","Nendel, Claas; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Priesack, Eckart; 5\r\nHelmholtz Zentrum München‐German Research Center for Environmental Health\r\nNeuherberg Germany"],["dc.contributor.affiliation","Steidl, Jörg; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Sommer, Michael; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Pütz, Thomas; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Vanderborght, Jan; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Vereecken, Harry; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Wallor, Evelyn; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Weber, Tobias K. D.; 10\r\nInstitute of Soil Science and Land Evaluation\r\nUniv. of Hohenheim\r\nStuttgart Germany"],["dc.contributor.affiliation","Wegehenkel, Martin; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Weihermüller, Lutz; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Gerke, Horst H.; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.author","Groh, Jannis"],["dc.contributor.author","Diamantopoulos, Efstathios"],["dc.contributor.author","Duan, Xiaohong"],["dc.contributor.author","Ewert, Frank"],["dc.contributor.author","Heinlein, Florian"],["dc.contributor.author","Herbst, Michael"],["dc.contributor.author","Holbak, Maja"],["dc.contributor.author","Kamali, Bahareh"],["dc.contributor.author","Kersebaum, Kurt‐Christian"],["dc.contributor.author","Kuhnert, Matthias"],["dc.contributor.author","Gerke, Horst H."],["dc.contributor.author","Nendel, Claas"],["dc.contributor.author","Priesack, Eckart"],["dc.contributor.author","Steidl, Jörg"],["dc.contributor.author","Sommer, Michael"],["dc.contributor.author","Pütz, Thomas"],["dc.contributor.author","Vanderborght, Jan"],["dc.contributor.author","Vereecken, Harry"],["dc.contributor.author","Wallor, Evelyn"],["dc.contributor.author","Weber, Tobias K. D."],["dc.contributor.author","Wegehenkel, Martin"],["dc.contributor.author","Weihermüller, Lutz"],["dc.date.accessioned","2022-06-01T09:39:09Z"],["dc.date.available","2022-06-01T09:39:09Z"],["dc.date.issued","2022"],["dc.date.updated","2022-11-11T13:13:58Z"],["dc.description.abstract","Abstract\r\nCrop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux‐related performance of a set of crop models. The aim was to predict weighing lysimeter‐based crop (i.e., agronomic) and water‐related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014–2018) were from the Dedelow (Dd), Bad Lauchstädt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop‐ and soil‐related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi‐model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site‐specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil‐related data (i.e., water fluxes and system states) when simulating soil–crop–climate interrelations in changing climatic conditions."],["dc.description.abstract","Core Ideas\r\n\r\nWe demonstrate the use of high precision weighable lysimeter for full model calibration and validation.\r\nLysimeter data from translocated soils represent effects of changing climatic conditions.\r\nWe compare calibration with blind forward simulations (fixed soil and calibrated crop parameter).\r\nWe compare individual crop model predictions with multi‐model mean.\r\nWe test the predictive ability of crop models and multi‐model mean."],["dc.identifier.doi","10.1002/vzj2.20202"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108400"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","1539-1663"],["dc.relation.issn","1539-1663"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited."],["dc.title","Same soil, different climate: Crop model intercomparison on translocated lysimeters"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2013Journal Article
    [["dc.bibliographiccitation.firstpage","551"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Journal of Plant Nutrition and Soil Science"],["dc.bibliographiccitation.lastpage","560"],["dc.bibliographiccitation.volume","176"],["dc.contributor.author","Gocke, Martina I."],["dc.contributor.author","Liang, W. U."],["dc.contributor.author","Sommer, Michael"],["dc.contributor.author","Kuzyakov, Yakov"],["dc.date.accessioned","2018-11-07T09:21:31Z"],["dc.date.available","2018-11-07T09:21:31Z"],["dc.date.issued","2013"],["dc.description.abstract","Silicon (Si), although not considered essential, has beneficial effects on plant growth which are mostly associated with the ability to accumulate amorphous (phytogenic) Si, e.g., as phytoliths. Phytogenic Si is the most active Si pool in the soil-plant system because of its great surface-to-volume ratio, amorphous structure, and high water solubility. Despite the high abundance of Si in terrestrial biogeosystems and its importance, e.g., for the global C cycle, little is known about Si fluxes between soil and plants and Si pools used by plants. This study aims at elucidating the contribution of various soil Si pools to Si uptake by wheat. As pH affects dissolution of Si pools and Si uptake by plants, the effect of pH (4.5 and 7) was evaluated. Wheat was grown on Si-free pellets mixed with one of the following Si pools: quartz sand (crystalline), anorthite powder (crystalline), or silica gel (amorphous). Silicon content was measured in aboveground biomass, roots, and soil solution 4 times in intervals of 7 d. At pH 4.5, plants grew best on anorthite, but pH did not significantly affect Si-uptake rates. Total Si contents in plant biomass were significantly higher in the silica-gel treatment compared to all other treatments, with up to 26 mg g(-1) in aboveground biomass and up to 17 mg g(-1) in roots. Thus, Si uptake depends on the conversion of Si into plant-available silicic acid. This conversion occurs too slowly for crystalline Si phases, therefore Si uptake from treatments with quartz sand and anorthite did not differ from the control. For plants grown on silica gel, real Si-uptake rates were higher than the theoretical value calculated based on water transpiration. This implies that Si uptake by wheat is driven not only by passive water flux but also by active transporters, depending on Si concentration in the aqueous phase, thus on type of Si pool. These results show that Si uptake by plants as well as plant growth are significantly affected by the type of Si pool and factors controlling its solubility."],["dc.identifier.doi","10.1002/jpln.201200098"],["dc.identifier.isi","000329220900010"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/29125"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-v C H Verlag Gmbh"],["dc.relation.issn","1522-2624"],["dc.relation.issn","1436-8730"],["dc.title","Silicon uptake by wheat: Effects of Si pools and pH"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI WOS
  • 2006Journal Article
    [["dc.bibliographiccitation.firstpage","89"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Biogeochemistry"],["dc.bibliographiccitation.lastpage","108"],["dc.bibliographiccitation.volume","80"],["dc.contributor.author","Sauer, Daniela"],["dc.contributor.author","Saccone, Loredana"],["dc.contributor.author","Conley, Daniel J."],["dc.contributor.author","Herrmann, Ludger"],["dc.contributor.author","Sommer, Michael"],["dc.date.accessioned","2017-09-07T11:48:26Z"],["dc.date.available","2017-09-07T11:48:26Z"],["dc.date.issued","2006"],["dc.identifier.doi","10.1007/s10533-005-5879-3"],["dc.identifier.gro","3149451"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6127"],["dc.notes.intern","Sauer Crossref Import"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0168-2563"],["dc.title","Review of methodologies for extracting plant-available and amorphous Si from soils and aquatic sediments"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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